Aternity AppInternals [EOL] vs Datadog comparison

Riverbed and Datadog are both solutions in the Application Performance Monitoring (APM) and Observability category. Additionally, 90% of Riverbed users are willing to recommend the solution, compared to 97% of Datadog users who would recommend it.

Aternity AppInternals [EOL]

Read 10 Aternity AppInternals [EOL] reviews

90% willing to recommend

Datadog

Read 210 Datadog reviews

32,681 Views
16,014 Comparison Views

97% willing to recommend

Aternity AppInternals [EOL]

Datadog

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Executive SummaryUpdated on Oct 19, 2025

Aternity AppInternals and Datadog operate in the application performance monitoring category. Datadog has the upper hand with its modern offerings and superior integration capabilities, providing more comprehensive features for diverse environments.

Features: Aternity AppInternals provides detailed transaction tracing, real-time analytics, and user-friendly agent management. Datadog supports extensive cloud integration, robust dashboards, and powerful alerting functionalities, which enhance monitoring capabilities across multiple services.

Room for Improvement: Aternity AppInternals could enhance its cloud service integrations, simplify the setup process, and expand its analytics capabilities. Datadog may focus on optimizing resource costs, enhancing user experience design, and improving support for less common programming frameworks.

Ease of Deployment and Customer Service: Aternity AppInternals requires complex setup and maintenance compared to Datadog’s SaaS model, which simplifies deployment and scaling. Datadog is noted for its quick response times and thorough support, easing the deployment process significantly.

Pricing and ROI: Aternity AppInternals has lower initial costs but potentially higher maintenance expenses, while Datadog, despite higher upfront costs, provides better ROI through scalability and a rich feature set that justifies its price.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: April 2026).

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Aternity AppInternals [EOL]

Average Rating

8.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Datadog

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

210

Ranking in other categories

Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (4th), IT Infrastructure Monitoring (2nd), Log Management (4th), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th), AI Observability (1st)

Featured Reviews

reviewer1374792

IT Support Specialist at a real estate/law firm with 1,001-5,000 employees

Great for visibility but lacks many features and difficult to update

We're customers. We don't have a special relationship with the company. I am the operation's application administrator. At the moment, the solution is monitoring the applications that we want it to monitor. We're not looking at it on a daily basis. We just use it here and there. The challenge we have is that we believe that Dynatrace can address some tasks we'd like done that are not possible to execute on this solution. Dynatrace includes monitoring of not just the logs, but the applications as well. Dynatrace also makes us include firewalls, etc. We could have it so there are end to end solutions or identifications within the process. What we have right now is only the app server as well as the database server and its connectivity. The solution does save time that's caused when creating SQL coding. However, there are some issues around AppInternals changing the code and giving us issues. From the point of view of the top management, we want a more permanent solution. We want to identify what causes issues and we are looking for a more end-to-end solution. That is why we are looking at Dynatrace. I don't know if I have any advice for other organizations. The experience I have is only based on my own limited experience. However, I believe that the application has the potential to be really good if it identifies what is really important to an organization. It's still sort of half-baked without AppResponse. Without the other key features in infrastructure, like the network, firewalls, and proxies, it's lacking. It's not fully complete. I'd rate the solution six out of ten. It addresses some of our needs, but there's a lot lacking that could be added to make it a fuller, more interesting product.

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Dhroov Patel

Site Reliability Engineer at Grainger

Has improved incident response with better root cause visibility and supports flexible on-call scheduling

Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The product is very useful to find problems in middleware for the application servers, especially agent instrumentation and management is user friendly."

"If you want to save time for problem resolution, and to address problem on your environments you should try Riverbed OPNET."

"Transaction Tracing is the most useful. Being able to have the transaction stitched together so we can see where the problem is has proven invaluable."

"The most valuable aspect of this solution is the integration with their other systems. It's easy to understand and it points out the relevant problems in the enterprise."

"Many times what might have taken hours or days can be resolved in a few minutes."

"My advice to others would be to use this solution for monitoring."

"Mean time to isolate a problem has dropped by 50-75% in each region since we've deployed the Riverbed SteelCentral suite."

"The capability of analysing each individual transaction captured to a very low level detail (method call/line of code)."

More Aternity AppInternals [EOL] pros

"The solution is useful for monitoring logs."

"The most valuable feature of Datadog is its logs."

"Its integration definitely stands out, providing seamless monitoring of all our systems, services, apps, and whatever else we secure and monitor, while visualizations have become simpler with dashboards and we are getting visibility into systems, services, and apps stack through a single pane of glass, which is good."

"Each component complements the other, creating a cohesive system where data, logs, and metrics are seamlessly integrated."

"Straightforward to integrate and automate."

"Datadog provided us the ability to monitor our cloud infrastructure (network, servers, storage), platform/middleware (database, web/applications servers, business process automation), and business applications across our cloud providers."

"Overall, it has improved operational efficiency and reduced downtime by enabling quicker responses during incidents."

"Being able to click on a UI and be pointed to the exact source of the problem is like magic."

More Datadog pros

Cons

"It's still sort of half-baked without AppResponse. Without the other key features in infrastructure, like the network, firewalls, and proxies, it's lacking."

"The technical support is not very good and should be improved."

"The admin dashboard could be easier as it takes a little bit of time to get used to it."

"Deployment and agent patch management is not managed centrally, resulting in a large level of effort to update."

"The recording mechanism for synthetic transactions could be improved as well."

"They should find a way for report generation from TTW to run quicker."

"It's not as good as it was three years ago before meddling by an activist investor, privatization, and subsequent layoffs hurt support."

More Aternity AppInternals [EOL] cons

"There are things about it that we would like to be fixed, such as it is taking averages of average. This results in data that we don't expect, but overall we are happy with it."

"The pricing should be less of a surprise."

"We need more advanced querying against logs."

"Datadog does not have the feature where you can monitor external websites or check the SSL secure for websites."

"We'd like to see more advanced incident management capabilities integrated directly into the platform."

"I think better access to their engineers when we have a problem could be better."

"In my experience, Datadog is stable, though there's typically at least one or two incidents per week."

"Auto instrumentation on tracing has not been very easy to find in the documentation."

More Datadog cons

Pricing and Cost Advice

"The licensing model is expensive compared to its competitors, but the service it gives to your business, and the data quality, means that it's worth it."

"The licensing model for v9 is better where it is an individual license per server, while v10 licenses are per JVM/ .NET and server instance. The latter model appears to be the model that other APM vendors are using."

"This solution is budget friendly."

"Licensing is based on the retention period of logs and metrics."

"The solution's pricing depends on project volume."

"The tool is open-source."

"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."

"My advice is to really keep an eye on your overage costs, as they can spiral really fast."

"It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."

"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."

More Datadog pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	1
Midsize Enterprise	2
Large Enterprise	7

By reviewers
Company Size	Count
Small Business	82
Midsize Enterprise	47
Large Enterprise	100

Questions from the Community

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Any advice about APM solutions?

There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...

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Datadog vs ELK: which one is good in terms of performance, cost and efficiency?

With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...

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Which would you choose - Datadog or Dynatrace?

Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

Download Aternity AppInternals [EOL] product report

Buyer's Guide

Datadog

May 2026

Download Datadog product report

Also Known As

SteelCentral AppInternals, OPNET ACE, AppInternals Xpert

No data available

Overview

Simplified high-definition APM visibility leveraging Real User Monitoring, Synthetic Monitoring, and OpenTelemetry, that is scalable, easy to use and deploy, and unifies insights across end users, applications, networks, and the cloud-native ecosystem

Riverbed

Datadog integrates extensive monitoring solutions with features like customizable dashboards and real-time alerting, supporting efficient system management. Its seamless integration capabilities with tools like AWS and Slack make it a critical part of cloud infrastructure monitoring.

Datadog offers centralized logging and monitoring, making troubleshooting fast and efficient. It facilitates performance tracking in cloud environments such as AWS and Azure, utilizing tools like EC2 and APM for service management. Custom metrics and alerts improve the ability to respond to issues swiftly, while real-time tools enhance system responsiveness. However, users express the need for improved query performance, a more intuitive UI, and increased integration capabilities. Concerns about the pricing model's complexity have led to calls for greater transparency and control, and additional advanced customization options are sought. Datadog's implementation requires attention to these aspects, with enhanced documentation and onboarding recommended to reduce the learning curve.

What are Datadog's Key Features?

Sharable Dashboards: Facilitate collaboration with customizable, intuitive dashboards.
Extensive Integrations: Seamlessly connects with tools like Slack and AWS to support workflows.
APM and RUM: Provides deep insights into application performance and user interactions.
Real-Time Tools: Enables agile responses to system issues with real-time monitoring.
Unified Tagging and Visualization: Eases management of complex systems with simplified visualization.

What Benefits and ROI Should Users Look For?

Efficient Troubleshooting: Centralized logging speeds up the identification and resolution of issues.
Streamlined Workflows: Integrations with popular tools enhance operational efficiency.
Improved Observability: Comprehensive monitoring improves system reliability and performance.
Resource Optimization: Efficient microservices and container management leads to better cloud resource utilization.
Responsive Alerts: Customizable alerts ensure timely identification of critical issues.

In industries like finance and technology, Datadog is implemented for its monitoring capabilities across cloud architectures. Its ability to aggregate logs and provide a unified view enhances reliability in environments demanding high performance. By leveraging real-time insights and integration with platforms like AWS and Azure, organizations in these sectors efficiently manage their cloud infrastructures, ensuring optimal performance and proactive issue resolution.

Datadog

Sample Customers

National Instruments, Allianz

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's

Buyer's Guide

Application Performance Monitoring (APM) and Observability

April 2026

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